规模报酬递增与京津冀都市区经济增长

借助Verdoorn法则,并将其拓展至区域经济研究框架,以京津冀都市区为研究区域,将其经济增长过程分为1995～2000年、2000～2007年及1995～2007年3个时段,采用Spa-tial Durbin Model和空间贝叶斯异方差回归模型将空间自相关和空间异质性纳入传统Ver-doorn法则的经验估计中,得到...     

单斜星叶石矿物的穆斯堡尔光谱学研究

本文对产于俄罗斯希宾地区的单斜星叶石进行了不同的温度条件下的穆斯堡尔光谱效应研究,通过在温度分别在298 K,180 K和80 K条件下的分析,发现单斜星叶石由2个Fe~(2 )和1个Fe~(3 )四极双峰组成,并进行了单斜星叶石中的畸变参数包括八面体键角(σ~2)和键长变量(Δ)的计算。但是,在两个畸变参数之间存在着明显的差异,将无法对它们的穆斯堡尔参数和四极双峰进行指派。本文对温度在同质异能位移和四极分裂中的作用进行了探讨,根据通过穆斯堡尔效应和f(Fe~(3 )(O))/f(Fe~(2 )(O))的平均值获得的三价铁对全铁的比值,改写了单斜星叶石的化学式。     

Contributions of terrestrial and GRACE data to the study of the secular geoid changes in North America

This paper tests and discusses different statistical methods for modelling secular rates of change of the geoid in North America. In particular, we use the method of principal component/empirical orthogonal functions (PC/EOF) analysis to model the geoid rates from Gravity Recovery and Climate Experiment (GRACE) satellite data. As demonstrated, the PC/EOF analysis is useful for studying the contributions from different signals (mainly residual hydrology signals and leakage effects) to the GRACE-derived geoid rates. The PC/EOF analysis leads to smaller geoid rates compared to the conventional least-squares fitting of a trend and annual and semi-annual cycles to the time series of the spherical harmonic coefficients. This is because we filter out particular spatiotemporal modes of the regional geoid changes.We apply the method of least-squares collocation with parameters to combine terrestrial data (GPS vertical velocities from the Canadian Base Network and terrestrial gravity rates from the Canadian Gravity Standardization Net) with the GRACE-derived vertical motion to obtain again the geoid rates. The combined model has a peak geoid rate of 1.4 mm/year in the southeastern area of Hudson Bay contrary to the GRACE-derived geoid rates that show a large peak of 1.6–1.7 mm/year west of Hudson Bay. We demonstrate that the terrestrial data, which have a longer time span than the GRACE data, are important for constraining the GRACE-derived secular signal in the areas that are well sampled by the data.     

Two-phase hydrodynamic and sediment transport modeling of wave-generated sheet flow

This numerical investigation was carried out to advance mechanistic understanding of sediment transport under sheet flow conditions. An Euler–Euler coupled two-phase flow model was developed to simulate fluid–sediment oscillatory sheet flow. Since the concentration of sediment particles is high in such flows, the kinematics of the fluid and sediment phases are strongly coupled. This model includes interaction forces, intergranular stresses and turbulent stress closure. Each phase was modeled via the Reynolds-Averaged Navier–Stokes equations, with interphase momentum conservation accounting for the interaction between the phases. The generation and transformation of turbulence was modeled using the two-equation k–ε$k''–''\epsilon$ turbulence model. Concentration and sediment flux profiles were compared with experimental data for sheet flow conditions considering both symmetric and asymmetric oscillatory flows. Sediment and fluid velocity variations, concentration profiles, sediment flux and turbulence parameters of wave-generated sheet flow were studied numerically with a focus on sediment transport characteristics. In all applications, the model predictions compared well with the experimental data. Unlike previous investigations in which the flow is driven by a horizontal pressure gradient, the present model solves the Navier–Stokes equations under propagating waves. The model’s ability to predict sediment transport under oscillatory sheet flow conditions underscores its potential for understanding the evolution of beach morphology.     

Assessing conditional extremal risk of flooding in Puerto Rico

We model multivariate hydrological risks in the case that at least one of the variables is extreme. Recently, Heffernan JE, Tawn JA (2004) A conditional approach for multivariate extremes. J R Stat Soc B 66(3):497–546 (thereafter called HT04) proposed a conditional multivariate extreme value model which applies to regions where not all variables are extreme and simultaneously identifies the type of extremal dependence, including negative dependence. In this paper we apply this modeling strategy and provide an application to multivariate observations of five rivers in two clearly distinct regions of Puerto Rico Island and for two different seasons each. This effective dimensionality of ten-dimensions cannot be handled by the traditional models of multivariate extremes. The resulting fitted model, following HT04 model and strategies of estimation, is able to make long term estimation of extremes, conditional than other rivers are extreme or not. The model shows considerable flexibility to address the natural questions that arise in multivariate extreme value assessments. In the Puerto Rico 5 rivers application, the model clearly puts together two regions one of two rivers and another of three rivers, which show strong relationships in the rainy season. This corresponds with the geographical distribution of the rivers.

Comparison of nitrate attenuation characterization methods at the Uranium mill tailing site in Monument Valley, Arizona

Several methods for characterizing the occurrence and rate of nitrate attenuation were tested at a field site near Monument Valley, Arizona. Spatial and temporal nitrate concentration data collected from a transect of monitoring wells located along the plume centerline were analyzed to evaluate the overall rates of natural attenuation. The occurrence and rate of denitrification was evaluated through microcosm experiments, nitrogen isotopic fractionation analysis, and solute-transport modeling. First-order denitrification-rate coefficients calculated with each method were comparable. In addition, the composite natural attenuation rate coefficient was similar to the denitrification-rate coefficients, which suggests that microbially induced decay primarily controls nitrate attenuation at the site. This research highlights the benefits associated with a multiple-method approach for the characterization of natural attenuation.     

桩基-非线性框剪结构相互作用体系(下)-- 相互作用对结构地震反应的影响

本文研究桩基-非线性框剪结构相互作用体系的地震反应。其中上部框架和剪力墙结构分别用门型单元和四弹簧墙单元进行分析;桩基阻抗函数通过单桩阻抗和动力相互作用因于求得。采用频-时域混合法求解体系的动力方程,本文研究了在桩基-框剪结构相互作用体系地震反应分析中,桩基阻抗的频率相关性对结构地震反应的影响,并从土体剪切波速和地震波强度两个方面,研究了土-桩-结构相互作用对框剪结构地震反应的影响。     

地形变资料求解应变值的尺度相对性问题研究

从统计分析入手,研究了地形变资料求解地壳应变值的尺度相对性问题．发现应变值与计算图形尺度存在显著的相关性:随着图形单元尺度增大,应变值的统计平均值和均方差呈幂指数衰减的分布特征．据此提出了利用地形变资料求解应变场时,进行应变值尺度归化的必要性,并给出了归化方法．      

帮扶措施对山区脱贫农户生计策略选择的影响——以陇南山区为例

帮扶措施不仅是构建稳定脱贫长效机制的关键举措,更是推进脱贫攻坚与乡村振兴有效衔接的客观要求。论文构建了帮扶措施对农户生计策略选择的影响分析框架,利用入户调查数据,在辨明帮扶措施及生计策略选择特征的基础上,探讨了影响陇南山区脱贫户生计策略选择的关键因素。结果表明：(1)陇南山区有59.84%的脱贫户享受了多元帮扶措施,其中,享受最多的多元帮扶措施为产业扶贫+生态补偿扶贫,享受最多的单一帮扶措施为生态补偿扶贫;(2)陇南山区脱贫户的生计策略以务工主导型为主,呈农业特色化、非农化和多样化的特点;(3)陇南山区脱贫户生计策略选择的路径依赖性整体呈中等水平,其中,川坝河谷区农户、老年农户和低生计资本禀赋的农户生计策略选择的路径依赖性较强,且帮扶措施对其有调节作用;(4)社会资本、人力资本、金融资本和区位条件对农户的生计策略选择有显著影响;产业扶贫和电商扶贫对农户的特色务农型生计策略选择有正向影响,生态补偿扶贫和就业扶贫对农户的非农化生计策略选择有正向影响。最后,提出了优化农户生计策略的政策建议。